Integrating AI, IoT, and Robotics into TVET Building and Woodwork Training for Skills Competitiveness

Abstract

This study employed a descriptive survey design to examine the integration of Artificial Intelligence (AI), the Internet of Things (IoT), robotics, and automation in Nigerian TVET Building and Woodwork programs, assessing challenges and strategic interventions. Using a purposive sample of 55 stakeholders (educators, administrators, industry experts) from four institutions in Lagos State, data were collected via the Stakeholders’ Perspectives Questionnaire (SPQ). Analysis using one-way ANOVA revealed no significant differences in perceptions across stakeholder groups (p > .05). Key findings indicated a moderate level of technology integration, with AI and automation tools being utilised in instruction and assessment. However, major systemic barriers were identified, including inadequate digital infrastructure, insufficient instructor training, outdated curricula, and weak policy support. Stakeholders strongly endorsed strategic interventions such as industry partnerships, instructor upskilling, curriculum modernisation, and targeted investment in smart workshops to enhance global skills competitiveness. The study concludes that a holistic, policy-driven approach is essential for transforming TVET delivery and aligning graduate competencies with industry 4.0 demands.